Salesforce と Google の創業者が手がける、ブランドイメージに沿った顧客対応AIエージェントです。
音声ツール利用メモリRAG
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Ada vs Crestawhich AI support agent should you pick in 2026?
AI customer service agent — resolves tickets across chat, email, voice with measurable deflection rates.
RAGTool useMemoryVoice
Ada vs Cresta — specs
| Spec | Ada | Cresta |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 80 / 100 (A) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription · Free tier |
| Open source | No | No |
| Capabilities | RAG, Tool use, Memory, Voice | Voice, Tool use, Memory, RAG |
| Integrations | 4 apps | 4 apps |
| Verified | Verified | Verified |
| Released | Feb 2025 | Mar 2025 |
Agent Rank breakdown
Ada
Agent Rank
80/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 6
- 料金
- 9
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Cresta
Agent Rank
80/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 8
- 料金
- 9
- 完成度
- 5
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Ada
メリット
- +One of the longest-running CS AI products — battle-tested at scale
- +Now Generative — rewritten on LLMs rather than older NLU patterns
- +Clean Zendesk + Salesforce integration story
デメリット
- −Older brand can feel less buzzy vs Sierra/Decagon — though the product is competitive
- −Voice still nascent vs Parloa
- −Enterprise-only sales motion
Cresta
メリット
- +Best-in-class real-time coaching — recommendations during the call
- +Auto-summarizes calls + drafts after-call work, saving reps 5+ min per call
- +Strong deployments at Fortune 500 contact centers
デメリット
- −Enterprise-only — minimum seat counts in the hundreds
- −Implementation requires conversation-data training (4–8 weeks)
- −Augments humans rather than replacing them — different positioning than fully autonomous tier
Pricing
Ada
おすすめ
Generative
カスタム
Mid-market support
- +AI agent for chat + email
- +Knowledge automation
- +Reasoning engine
Enterprise
カスタム
Large enterprises
- +Voice channel
- +Custom workflows
- +Dedicated CS
Cresta
Enterprise
カスタム
Contact centers 200+ reps
- +Real-time agent assist
- +Conversation intelligence
- +After-call work automation
Which one should you pick?
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Frequently asked
Should I pick Ada or Cresta in 2026?+
Pick Ada if you want the highest autonomy and the verification loop is in place. Pick Cresta if its specific capabilities (Voice, Tool use) match what you need. Most working teams running both can use Ada for primary work and Cresta for the workflows where its specific strengths matter.
What's the price difference between Ada and Cresta?+
Both Ada and Cresta start in the same pricing range (Subscription · Free tier vs Subscription · Free tier). Total cost of ownership depends on your team size and volume — see the TCO calculator for your specific math.
Which is more autonomous, Ada or Cresta?+
Ada is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.
Readers comparing Ada and Cresta also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
Multilingual customer-support AI agents with local deployment teams in 30 countries.
ツール利用メモリ音声RAGForrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).
ツール利用音声メモリRAG
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See more alternatives: alternatives to Ada · alternatives to Cresta
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